Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:16.673913Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2501.03782.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:16.673913Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
83 of 83 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Maxvit: Multi-axis vision transformer
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Swin transformer: Hierarchical vision transformer using shifted windows
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Segvit: Semantic segmentation with plain vision transformers.Advances in Neural Information Processing Systems, 35:4971– 4982, 2022
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Elasticvit: Conflict-aware supernet training for deploying fast vision transformer on diverse mobile devices
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Training-free transformer architecture search
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Training-free transformer architecture search with zero-cost proxy guided evolution
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Out of Distribution Performance of State of Art Vision Model
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Auto-prox: Training-free vision transformer architecture search via automatic proxy discovery
Reference 17
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Hr-nas: Searching efficient high-resolution neural architectures with lightweight transformers
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights All tokens matter: Token labeling for training better vision transformers
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Crossvit: Cross-attention multi-scale vision transformer for image classification
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Pre-trained image processing transformer
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Natural adversarial examples
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object
Reference 26
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights The many faces of robustness: A critical analysis of out-of-distribution generalization
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Observation 35075d6f-8f8d-4958-a492-fc6ec6ce37b1 · outbound
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Learning robust global representations by penalizing local predictive power
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Reference 29
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights HYPO: Hyperspherical out-of-distribution generalization
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Domain generalization for object recognition with multi-task autoencoders
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Domain generalization using causal matching
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Domain generalization via invariant feature representation
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights An investigation of why overparam- eterization exacerbates spurious correlations
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Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights A new measure of rank correlation
Reference 76
Source-reported events for the cited work
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Reference 77
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Observation 61aebfbf-21b9-405e-8f86-02513cf0fa2a · outbound
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights On the Adversarial Robustness of Vision Transformers
Reference 78
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Observation aa7005ff-c627-459d-ac2c-e9647feeca29 · outbound
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Can biases in imagenet models explain generalization? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 22184–22194, 2024
Reference 79
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Observation ac892f40-5522-4188-912b-1a03918237f5 · outbound
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights High-frequency component helps explain the generalization of convolutional neural networks
Reference 80
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Observation 8beb5d18-f0f4-4eae-9dd4-3bec116913d4 · outbound
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Arbitrary style transfer in real-time with adaptive instance normalization
Reference 81
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Observation ca0e1e38-38b0-4173-adb2-666ed1ecda60 · outbound
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights cat", "airplane
Reference 82
Source-reported events for the cited work
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Observation 17be7581-cca3-47b1-9267-1bcd5d439e43 · outbound
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights These examples could be distorted or unrealistic in object- background placements
Reference 83
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No inbound Pith citation observations are available.